About

Software Engineer with hands-on experience in Python, FastAPI, SQL, and Generative AI. Built AI-powered government platforms, LLM/RAG-based content and interview systems, and Streamlit ML applications.

Experience3

  1. Internship

    Apr 2026 — Present

    LARE Consulting and Technologies Pvt. Ltd. · Internship · Hyderabad, Telangana

    Developed an AI-powered multilingual interview platform for the Government of Andhra Pradesh, incorporating conversational AI and automated scoring. Built a bilingual education platform and a cloud-native digital reference content platform, among other projects.

    • Developed an AI-powered multilingual interview platform for the Government of Andhra Pradesh.
    • Built a bilingual government education platform for COGG, Ireland.
    • Developed a cloud-native Online Digital Reference Content platform for Oide Technology in Education, Ireland.
    • Architected the Primary Mathematics Hub for COGG, Ireland.
    • Developed a cloud-native Startup Ecosystem Management Platform for MeitY Startup Hub.
    • Created a web-based Plantation Estate Wages Management & Payroll System for Kerala Government.
  2. AI Intern

    Nov 2024 — Apr 2025

    TechSaksham Program – Edunet Foundation · Internship · Remote

    Built a multi-disease prediction system using Random Forest classifiers across five health datasets, featuring a responsive Streamlit UI.

    • Developed a multi-disease prediction system using Random Forest classifiers.
  3. AI Intern

    May 2025 — Jul 2025

    Skillbit Technologies Pvt. Ltd. · Internship · Remote

    Created Car Pulse, an NLP-based car sentiment analyzer, working with real-world review datasets from end to end.

    • Built an NLP-based car sentiment analyzer using real-world review datasets.

Projects8

  • Facial Recognition System · AI Engineer / Project Creator

    Built a real-time facial recognition application using OpenCV and Python, matching webcam captures against a trained dataset.

    Open on github.com
    • Python
    • OpenCV
    • Haar Cascade
    • LBPH
  • Movie Recommender System · AI Engineer / Project Creator

    Developed a movie recommendation system using collaborative filtering and content-based filtering algorithms, with an interactive Streamlit interface.

    Open on smr2005-movie-recomendor-system-eqeizu5aesxnqxk9m3tz9u.streamlit.app
    • Python
    • Streamlit
    • Collaborative Filtering
    • Content-Based Filtering
  • Multiple Disease Prediction System · AI Engineer / Project Creator

    Built a Streamlit app predicting five or more diseases using trained ML models, integrated with a modern UI.

    Open on sameermedico.streamlit.app
    • Python
    • Streamlit
    • Random Forest
    • scikit-learn
  • CarbonSphere AI · Project Creator

    Problem: Forest carbon audits rely on manual tree counting — slow, expensive, outdated on delivery. Built: A FastAPI pipeline: Sentinel-2 NDVI → OpenCV canopy segmentation → GIS area → IPCC Tier 1 biomass-to-CO₂. Impact: One POST /forest/analyze call returns biomass, CO₂e and carbon-credit estimates, stored for audit.

  • RISE — Autism Risk Detection · Project Creator

    Problem: Early-childhood programmes need to flag autism risk early from field assessments — supporting clinicians, not diagnosing. Built: 12-table PostgreSQL schema, 4 clinical indices, two XGBoost models with SHAP explanations for every score. Impact: Risk classifier met ROC-AUC > 0.88 and sensitivity > 0.85 targets on a 1,000-child synthetic cohort.

  • QueryVault AI · Team Lead

    Problem: Slow SQL is hard to fix — reading EXPLAIN plans and choosing indexes takes database expertise most developers don’t have. Built: A FastAPI service that feeds a query’s schema, EXPLAIN plan and sample rows to four LLM agents — Query Optimizer, Cost Advisor, Schema Advisor and Data Validator. Impact: One /analyze call returns a rewritten query, index and cost recommendations, warnings and the plan — and only read-only SELECT/WITH queries are allowed to run.

  • Portfolio Generator · Team Lead

    Problem: Help users create portfolio websites faster without building one from scratch. Built: A full-stack generator with sign-in, six responsive templates, a live-preview builder and image/résumé uploads. Impact: Reduced the effort required to launch a presentable personal portfolio online.

  • Car Pulse (AutoFeel) · Project Creator

    Problem: Car buyers and brands can’t easily see how people feel about specific models from raw reviews. Built: A Flask app that cleans reviews with NLTK and classifies sentiment with a scikit-learn model, with brand and model insights. Impact: Submitted reviews are scored Positive, Negative or Neutral and rolled up into sentiment trends per brand and model.

Education1

  • B.Tech

    2022 — 2026

    Aditya College of Engineering (ACEM)

    Artificial Intelligence & Data Science

Certifications1

  • Certificate

    TechSaksham Program – Edunet Foundation